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  • × subject_ss:"Ontologies (Information retrieval)"
  1. Philosophy, computing and information science (2014) 0.00 
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    Editor
    Hagengruber, R. u. U.V. Riss
  2. Lu, J.; Xu, Q.: Ontologies and big data considerations for effective intelligence (2017) 0.00 
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    Content
    Inhalt: Interactive visual analytics of big data / Carson K.-S. Leung [and 4 others] --Knowledge discovery for large databases in education institutes / Robab Saadatdoost [and 3 others] --Spatial databases: an overview / Grace L. Samson [and 3 others] -- The impact of the mode of data representation for the result quality of the detection and filtering of spam / Reda Mohamed Hamou, Abdelmalek Amine, Moulay Tahar -- Debunking intermediary censorship framework in social media via a content retrieval and classification software / Baramee Navanopparatskul, Sukree Sinthupinyo, Pirongrong Ramasoota -- Semantic approach to web-based discovery of unknowns to enhance intelligence gathering / Natalia Danilova, David Stupples -- Securing financial XML transactions using intelligent fuzzy classification techniques: a smart fuzzy-based model for financial XML transactions security using XML encryption / Faisal Tawfiq Ammari, Joan Lu -- Building a secured XML real-time interactive data exchange architecture / Yousef E. Rabadi, Joan Lu -- User query enhancement for behavioral targeting / Wei Xiong, Y. F. Brook Wu -- A generic model of ontology to visualize information science domain (OIS) / Ahlam F. Sawsaa, Joan Lu -- Research background on ontology / Ahlam F. Sawsaa, Joan Lu -- Methodology of creating ontology of information science (OIS) / Ahlam F. Sawsaa, Joan Lu -- Modelling design of OIS ontology / Ahlam F. Sawsaa, Joan Lu Findings for ontology in IS and discussion / Ahlam F. Sawsaa, Joan Lu -- Final remarks for the investigation in ontology in IS and possible future directions / Ahlam F. Sawsaa, Joan Lu.
  3. Stuart, D.: Practical ontologies for information professionals (2016) 0.00 
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    Content
    C H A P T E R 1 What is an ontology?; Introduction; The data deluge and information overload; Defining terms; Knowledge organization systems and ontologies; Ontologies, metadata and linked data; What can an ontology do?; Ontologies and information professionals; Alternatives to ontologies; The aims of this book; The structure of this book; C H A P T E R 2 Ontologies and the semantic web; Introduction; The semantic web and linked data; Resource Description Framework (RDF); Classes, subclasses and properties; The semantic web stack; Embedded RDF; Alternative semantic visionsLibraries and the semantic web; Other cultural heritage institutions and the semantic web; Other organizations and the semantic web; Conclusion; C H A P T E R 3 Existing ontologies; Introduction; Ontology documentation; Ontologies for representing ontologies; Ontologies for libraries; Upper ontologies; Cultural heritage data models; Ontologies for the web; Conclusion; C H A P T E R 4 Adopting ontologies; Introduction; Reusing ontologies: application profiles and data models; Identifying ontologies; The ideal ontology discovery tool; Selection criteria; Conclusion C H A P T E R 5 Building ontologiesIntroduction; Approaches to building an ontology; The twelve steps; Ontology development example: Bibliometric Metrics Ontology element set; Conclusion; C H A P T E R 6 Interrogating ontologies; Introduction; Interrogating ontologies for reuse; Interrogating a knowledge base; Understanding ontology use; Conclusion; C H A P T E R 7 The future of ontologies and the information professional; Introduction; The future of ontologies for knowledge discovery; The future role of library and information professionals; The practical development of ontologies
  4. Euzenat, J.; Shvaiko, P.: Ontology matching (2010) 0.00 
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    Date
    20. 6.2012 19:08:22
  5. Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.00 
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  6. King, B.E.; Reinold, K.: Finding the concept, not just the word : a librarian's guide to ontologies and semantics (2008) 0.00 
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    Footnote
    Rez. in: Mitt. VÖB 62(2009) H.2, S.92-96 (O. Oberhauser): "... Ein kurzes Fazit: Ein lesenswertes Buch, das insbesondere jenen, die sich bislang noch nicht mit Ontologien und semantischen Techniken befasst haben, einen nützlichen ersten Einblick zu geben vermag. Nichts hingegen für Spezialisten, denn der Text kann auf den verfügbaren Seiten an keiner Stelle wirklich in die Tiefe gehen. Insbesondere die beiden ersten Hauptabschnitte sind auch als Lehrtext gut geeignet, selbst wenn an verschiedenen Stellen die Präzision zu wünschen übrig lässt. Gar zu nonchalant wird hier nämlich mit Grundbegriffen der Wissensorganisation umgegangen - z.B. wird der Informationsthesaurus nicht ausreichend vom Synonymenwörterbuch (Roget's) abgegrenzt, Klassifikationssysteme werden durchweg als Taxonomien (mit reduziertem Anspruchsniveau) verkauft. Und: zum Themenbereich "automatisches Klassifizieren" fällt den Autorinnen lediglich das reichlich angestaubte System Scorpion von OCLC ein. Mit diesen kleinen Einschränkungen kann das Werk aber durchaus empfohlen werden. Der Ladenpreis ist natürlich für Studierende bzw. persönliche Käufer zu hoch, doch das Buch wird wohl ohnedies vornehmlich institutionelle Abnehmer finden."

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